نتایج جستجو برای: master production scheduling

تعداد نتایج: 704521  

Journal: :journal of modern processes in manufacturing and production 2014
mohammadreza naghibi abolfazl adressi

nowadays, by successful application of on time production concept in other concepts like production management and storage, the need to complete the processing of jobs in their delivery time is considered a key issue in industrial environments. unrelated parallel machines scheduling is a general mood of classic problems of parallel machines. in some of the applications of unrelated parallel mac...

Journal: :مدیریت صنعتی 0
مجید اسماعیلیان استادیار گروه مدیریت، دانشکدۀ علوم اداری و اقتصاد، دانشگاه اصفهان، ایران هاجر بکران کارشناس‎ارشد مدیریت صنعتی، دانشکدۀ علوم اداری و اقتصاد، دانشگاه اصفهان، ایران

preventive maintenance scheduling is to perform a series of tasks that prevents or minimizes production breakdowns and improves the reliability. mathematical models have been developed to solve the preventive maintenance scheduling problem. there are several limitations in the prior work in this area of research. craft combinations are assumed to be given. the craft combination problem concerns...

2012
Wang Qifeng

Project-based remanufacturing is a kind of service-driven remanufacturing mode, and production scheduling is one of the important issues for project-based remanufacturing system operation. Many uncertain factors exist in the remanufacturing system which lead to the traditional single production scheduling model and approach can not satisfy the requirements for production scheduling in the proce...

2007
Zijian Zhang Lili Jiang Qiang Zhang

According to the coexistence of two production style: Single Small Serial Production and Batch Production in the current Enterprise, this article analyzed the scheduling problems of this production model and studied the working flow of this production scheduling problem. Using Genetic Algorithm for the Scheduling Hybrid Production, a new system for solving the problems of Scheduling Hybrid Prod...

In last decades, mobile factories have been used due to their high production capability, carrying their equipment and covering rough and uneven routes. Nowadays, more companies use mobile factories with the aim of reducing the transportation and manufacturing costs. The mobile factory must travel between the suppliers, visit all of them in each time period and return to the initial location of...

Journal: :INFOR: Information Systems and Operational Research 2011

Journal: :journal of industrial engineering, international 2011
vijay kumar a. n. narashima murthy krishnappa chandrashekara

scheduling of production in flexible manufacturing systems (fmss) has been extensively investigated over the past years and it continues to attract the interest of both academic researchers and practitioners. the generation of new and modified production schedules is becoming a necessity in today’s complex manufacturing environment. genetic algorithms are used in this paper to obtain an initial...

2005
Isameldin M. Suliman Janne Lehtomäki Ian Oppermann

We study scheduling in Bluetooth piconets. A good scheduling method should use the limited resources efficiently and fairly. A novel scheduling scheme based on fuzzy logic is proposed. It dynamically adjusts resource allocation to each master-slave pair based on the traffic characteristics. The proposed algorithm is compared with the Pure Round Robin (PRR) and Exhaustive Round Robin (ERR) schem...

One of the most important problems in research and applied fields of production management is a suitable scheduling for different operations. So, there are many approaches for job workshop or job non-workshop scheduling problems. Since job workshop scheduling problems (JSP) belong to NP-Hard class, some metaheuristics methods such as Tabu Search, Simulated Annealing, Genetic Algorithm and Parti...

2002
Guido Sand Sebastian Engell

This contribution deals with scheduling problems in flexible batch chemical processes with a special emphasis on their real-time character. This implies not only the need for sufficiently short response times, but also the burden of incomplete knowledge about the future. We propose the application of two-stage stochastic integer programming techniques within a model predictive framework, which ...

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